README.md

metadata

license: apache-2.0
base_model: OthmaneJ/distil-wav2vec2
tags:
  - generated_from_trainer
datasets:
  - OthmaneJ/distil-wav2vec2
metrics:
  - accuracy
model-index:
  - name: distil-wav2vec2-finetuned-giga-speech
    results:
      - task:
          name: Audio Classification
          type: audio-classification
        dataset:
          name: Giga Speech
          type: OthmaneJ/distil-wav2vec2
          config: xs
          split: train
          args: xs
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.8881789137380192

distil-wav2vec2-finetuned-giga-speech

This model is a fine-tuned version of OthmaneJ/distil-wav2vec2 on the Giga Speech dataset. It achieves the following results on the evaluation set:

• Loss: 0.4271
• Accuracy: 0.8882

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.4425	1.0	1057	1.3045	0.5399
0.796	2.0	2114	0.8516	0.7284
0.9685	3.0	3171	0.5054	0.8626
0.5623	4.0	4228	0.4271	0.8882

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3